Image denoising research based on total variation and wavelet transformation
Xu Xiaorong, Yongjun Li · 2013
In this paper, firstly, on the basis of analyzing the principle of wavelet decomposition and reconstruction, the process of wavelet denoising is proposed; secondly, on the basis of analyzing the isotropic feature of wavelet and the traditional low-pass filters, the denoising model and process of the total variation is proposed and it has anisotropic diffusion feature; by analyzing the respective advantages and shortcomings of these two methods, we propose a method based on the wavelet decomposition and reconstruction and total variation. The experiment results show that this new method is better than the above two methods.